test_astream_events_from_model() — langchain Function Reference
Architecture documentation for the test_astream_events_from_model() function in test_runnable_events_v1.py from the langchain codebase.
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Dependency Diagram
graph TD 30efcf28_5850_b85b_5a4e_32dd66180dfa["test_astream_events_from_model()"] 8ff41f3c_f250_f8de_8094_4f24860a10e0["test_runnable_events_v1.py"] 30efcf28_5850_b85b_5a4e_32dd66180dfa -->|defined in| 8ff41f3c_f250_f8de_8094_4f24860a10e0 aac0453e_34cd_4dce_c7fa_f176ab20140b["_collect_events()"] 30efcf28_5850_b85b_5a4e_32dd66180dfa -->|calls| aac0453e_34cd_4dce_c7fa_f176ab20140b 6ebe7fde_6e8f_dae5_d42f_9cea181617f5["_assert_events_equal_allow_superset_metadata()"] 30efcf28_5850_b85b_5a4e_32dd66180dfa -->|calls| 6ebe7fde_6e8f_dae5_d42f_9cea181617f5 style 30efcf28_5850_b85b_5a4e_32dd66180dfa fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/tests/unit_tests/runnables/test_runnable_events_v1.py lines 474–815
async def test_astream_events_from_model() -> None:
"""Test the output of a model."""
infinite_cycle = cycle([AIMessage(content="hello world!")])
# When streaming GenericFakeChatModel breaks AIMessage into chunks based on spaces
model = (
GenericFakeChatModel(messages=infinite_cycle)
.with_config(
{
"metadata": {"a": "b"},
"tags": ["my_model"],
"run_name": "my_model",
}
)
.bind(stop="<stop_token>")
)
events = await _collect_events(model.astream_events("hello", version="v1"))
_assert_events_equal_allow_superset_metadata(
events,
[
{
"data": {"input": "hello"},
"event": "on_chat_model_start",
"metadata": {"a": "b"},
"name": "my_model",
"run_id": "",
"parent_ids": [],
"tags": ["my_model"],
},
{
"data": {
"chunk": _any_id_ai_message_chunk(
content="hello",
)
},
"event": "on_chat_model_stream",
"metadata": {"a": "b"},
"name": "my_model",
"run_id": "",
"parent_ids": [],
"tags": ["my_model"],
},
{
"data": {"chunk": _any_id_ai_message_chunk(content=" ")},
"event": "on_chat_model_stream",
"metadata": {"a": "b"},
"name": "my_model",
"run_id": "",
"parent_ids": [],
"tags": ["my_model"],
},
{
"data": {
"chunk": _any_id_ai_message_chunk(
content="world!", chunk_position="last"
)
},
"event": "on_chat_model_stream",
"metadata": {"a": "b"},
"name": "my_model",
"run_id": "",
"parent_ids": [],
"tags": ["my_model"],
},
{
"data": {
"output": _any_id_ai_message_chunk(
content="hello world!", chunk_position="last"
)
},
"event": "on_chat_model_end",
"metadata": {"a": "b"},
"name": "my_model",
"run_id": "",
"parent_ids": [],
"tags": ["my_model"],
},
],
)
@RunnableLambda
def i_dont_stream(value: Any, config: RunnableConfig) -> Any:
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Frequently Asked Questions
What does test_astream_events_from_model() do?
test_astream_events_from_model() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/runnables/test_runnable_events_v1.py.
Where is test_astream_events_from_model() defined?
test_astream_events_from_model() is defined in libs/core/tests/unit_tests/runnables/test_runnable_events_v1.py at line 474.
What does test_astream_events_from_model() call?
test_astream_events_from_model() calls 2 function(s): _assert_events_equal_allow_superset_metadata, _collect_events.
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